Triple

T10467110
Position Surface form Disambiguated ID Type / Status
Subject Blackhat E246825 entity
Predicate starredActor P5563 FINISHED
Object Yorick van Wageningen E322232 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yorick van Wageningen | Statement: [Blackhat, starredActor, Yorick van Wageningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yorick van Wageningen
Context triple: [Blackhat, starredActor, Yorick van Wageningen]
  • A. Yorick van Wageningen chosen
    Yorick van Wageningen is a Dutch actor known internationally for his roles in films such as the 2011 adaptation of "The Girl with the Dragon Tattoo."
  • B. Harald Zwart
    Harald Zwart is a Norwegian film director known for helming Hollywood comedies and action films such as Agent Cody Banks and The Karate Kid (2010).
  • C. Theo Heemskerk
    Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
  • D. Dirk Roosenburg
    Dirk Roosenburg was a prominent Dutch architect known for his early 20th-century modernist designs and as the grandfather of architect Rem Koolhaas.
  • E. Johan van der Mey
    Johan van der Mey was a Dutch architect best known as one of the leading figures and early pioneers of the Amsterdam School movement in architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b31de8c8190996df69ae02278f8 completed April 10, 2026, 9:27 p.m.
Created at: April 6, 2026, 12:20 p.m.